The course aims to provide methods and development tools to design advanced torque controllers for electric motors used in traction applications (e.g., hybrid and electric vehicles). The step-by-step procedures to design and develop modern high-performance motor control algorithms will be introduced. And different typologies of electric motors used in traction applications will be considered, e.g., interior permanent magnet (IPM) synchronous machines, induction machines (IM), and the new generation of magnet-less motors like electric excited synchronous machines (EESMs). The course topic features several multidisciplinary aspects, including but not limited to i) dynamic modelling of ac motors and power electronics converters, ii) performance identification of electric motors, iii) design and implementation of high-efficient torque controllers for ac motors, and iv) digital control of electric motor drives for traction. The course has a significant applicative nature, and most of the presented concepts find direct application in the automotive industry. Actual traction motors used in automotive applications will be assumed as study cases in this course. And benchmark torque controllers to deal with these kinds of motors will be designed, developed, and implemented.

Two primary outcomes are expected to be achieved after attending the course. 1) Theoretical skills - Dynamic models of ac motors used in traction applications - Flux, torque and losses maps of ac motors - Parameters identification procedures of ac motors - Benchmark torque controllers for traction ac motors - Simulation models of electric machines and power electronics converters 2) Application skills - Performance evaluation of ac motors - Design of high-efficient torque controllers for ac motors - Discrete-time implementation of motor control algorithms - Advanced simulation of electric motor drives

- Fundamentals of electric machines and drives (preliminary attending the courses of 02LONQW - Electrical machines and 01TVEQW - Electrical Technologies for eMobility is recommended) - Basic knowledge of MATLAB/Simulink environment

- Modelling of ac motors (6 h, 0.6 CFU): electromagnetic equations in dq coordinates, unified torque equation, magnetic saturation (apparent and differential inductances), flux and torque maps, losses models, space-state models, simulation models - Modelling of power electronics inverters (6 h, 0.6 CFU): 2-level structures, an overview of modulation techniques, losses models, voltage errors, simulation models - Identification of ac motors (8 h, 0.8 CFU): magnetic model identification procedures, direct- and inverse flux maps, inductance maps (apparent and differential), voltage-to-current models, scaling equations of loss maps - Manipulation of flux-, torque-, and losses- maps (12 h, 1.2 CFU): evaluation of MTPA-, MTPV-, and MTPS- profiles, efficiency mapping of ac motors, interpolation of n-dimensional maps - High-efficient and high-performance torque controllers for traction ac motors (12 h, 1.2 CFU): design and implementation of n-dimensional maps-based torque control algorithms - Discrete-time design and implementation of torque controllers (16 h, 1.6 CFU): proportional-integral regulators, filters, interpolation functions, stator flux observers, phase-locked loop, discretization techniques, simulation approaches

In addition to classroom lectures presenting course topics, the following laboratory activities based on MATLAB/Simulink are planned. 1) Simulation of ac motors 2) Simulation of 2-level inverters 3) Performance evaluation of ac motors using flux, torque, and losses maps 4) Efficiency mapping of ac motors 5) Discrete-time implementation and simulation of torque controllers

- Class notes (provided online) - IEEE articles (source: https://ieeexplore.ieee.org/Xplore/home.jsp) that can be accessed using Polito networks

Slides; Esercitazioni di laboratorio risolte;

Modalità di esame: Prova orale obbligatoria; Elaborato progettuale individuale; Elaborato progettuale in gruppo;

Exam: Compulsory oral exam; Individual project; Group project;

... A list of projects will be provided to students. The students will be required to assemble into up to three-person teams based on commonality of interest. Each team will select a project from the project list. The mandatory oral exam consists in a final report that the entire team must present. The final report is a document (edited in Word or Latex) supported by simulation models. The presentation of the report must be performed in Powerpoint. The final score is calculated as the weighted arithmetic mean between the final report (60%) (evaluated for technical content, technical clarity and writing clarity) and the score for the presentation of the results during the oral exam (40%).

Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.